Influence of different binding energies in clusterization approach: fragmentation as an example

Kumar, Rohit; Gautam, Sakshi; Puri, Rajeev K.

doi:10.1088/0954-3899/43/2/025104

Cited by 10 publications

(4 citation statements)

References 60 publications

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“…Here, the soft equation of state supplemented by the Cugnon parametrization of the nucleon-nucleon (NN) cross-section is used to simulate the above reactions [40]. It is worth mentioning that this choice of the equation of state and NN cross-section has been highly successful in explaining various experimental results [37,38,[41][42][43][44][45][46]. In Fig.…”

Section: Resultsmentioning

confidence: 99%

“…For the nuclear matter incompressibility K = 200 MeV, the values of the parameters , , and are −356 MeV, 303 MeV, and 1.17, respectively. Using this soft equation of state coupled with the energy-dependent nucleon-nucleon cross-section, various experimental observations have been explained in previous studies [37,38,[41][42][43][44][45][46].…”

Section: A Quantum Molecular Dynamics Modelmentioning

confidence: 99%

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Fragment emission and critical behavior in light and heavy charged systems *

Sood

Kumar

Sharma³

et al. 2021

Chinese Phys. C

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We study the emission of fragments in central collisions of light and heavily charged systems of 40Ar+45Sc and 84Kr+197Au, respectively, using the Quantum Molecular Dynamics (QMD) model as the primary model. The fragments are identified using an energy based clusterization algorithm, i.e., the Simulated Annealing Clusterization Algorithm (SACA). The charge distributions of intermediate mass fragments [3≤ ≤12] are fitted with power-law ( ) and exponential ( ) fits in order to extract the parameters τ and whose minimum values are also sometimes linked with the onset of fragmentation or the critical point for a liquid-gas phase transition. Other parameters such as the normalized second moment , , average size of the second largest cluster , phase separation parameter ( ), bimodal parameter (P), information entropy (H), and Zipf's law are also analyzed to find the exact energy of the onset of fragmentation. Our detailed analysis predicts that an energy point exists between 20-23.1 MeV/nucleon, which is very close to the experimentally observed value of 23.9 MeV/nucleon for the 40Ar+45Sc reaction. We also find that the critical energy deduced using Zipf's law is higher than those predicted from other critical exponents. Moreover, no minimum is found for τ values of the highly charged system of 84Kr+197Au, in agreement with experimental findings and various theoretical calculations. We observe that the QMD + SACA model calculations are in agreement with the experimental observations. This agreement supports our results regarding the energy point of the liquid-gas phase transition and the onset of fragmentation.

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Section: Resultsmentioning

confidence: 99%

Section: A Quantum Molecular Dynamics Modelmentioning

confidence: 99%

Fragment emission and critical behavior in light and heavy charged systems *

Sood

Kumar

Sharma³

et al. 2021

Chinese Phys. C

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“…[1], it is explained as a temperature dependence of pairing energy with the help of a self-consistent finite-temperature relativistic Hartree-Bogoliubov model [6]. In the deexcitation calculation of the statistical abrasion-ablation model [15] and the SACA method [16][17][18][19], or the theoretical parameterizations of T -dependent binding energy using density-functional theory [5], the temperature dependence of pairing energy is still not considered. In fact, the pairing energy of a fragment depends on mass in 1/A 1/2 and the total pairing energy is small for fragments of large A, which suggests that the pairing energy may only have a small influence on the cross section of fragments.…”

Section: Resultsmentioning

confidence: 99%

“…The temperature effects in binding energy are usually omitted. Examples can be found in the de-excitation calculation of the statistical abrasion-ablation model [15] and the simulated annealing clusterization algorithm (SACA) method [16][17][18][19]. In a previous analysis of the pairing energies of fragments in projectile fragmentation reactions, it is sug-gested that the pairing-energy coefficients are rather low compared to the standard value [1][2][3].…”

Section: Introductionmentioning

confidence: 99%

Pairing-energy coefficients of neutron-rich fragments in spallation reactions

Niu

2018

Chinese Phys. C

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The ratio of pairing-energy coefficient to temperature (ap/T ) of neutron-rich fragments produced in spallation reactions has been investigated by adopting an isobaric yield ratio method deduced in the framework of a modified Fisher model. A series of spallation reactions, 0.5A and 1A GeV 208 Pb + p, 1A GeV 238 U + p, 0.5A GeV 136 Xe + d, 0.2A, 0.5A and 1A GeV 136 Xe + p, and 56 Fe + p with incident energy ranging from 0.3A to 1.5A GeV, has been analysed. An obvious odd-even staggering is shown in the fragments with small neutron excess (I ≡ N −Z), and in the relatively small-A fragments which have large I. The values of ap/T for the fragments, with I from 0 to 36, have been found to be in a range from -4 to 4, and most values of ap/T fall in the range from -1 to 1. It is suggested that a small pairing-energy coefficient should be considered in predicting the cross sections of fragments in spallation reactions. It is also concluded that the method proposed in this article is not good for fragments with A/As > 85% (where As is the mass number of the spallation system).

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Fragment Production and Its Dynamics Using Spatial Correlations and Monte-Carlo Based Analysis Code

Kumar

Puri

2021

Trends in Mathematics

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Influence of different binding energies in clusterization approach: fragmentation as an example

Cited by 10 publications

References 60 publications

Fragment emission and critical behavior in light and heavy charged systems *

Fragment emission and critical behavior in light and heavy charged systems *

Pairing-energy coefficients of neutron-rich fragments in spallation reactions

Fragment Production and Its Dynamics Using Spatial Correlations and Monte-Carlo Based Analysis Code

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